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cs.DC2024
Online Client Scheduling and Resource Allocation for Efficient Federated Edge Learning
Zhidong Gao, Zhenxiao Zhang, Yu Zhang +3
Federated learning (FL) enables edge devices to collaboratively train a machine learning model without sharing their raw data. Due to its privacy-protecting benefits, FL has been d…
cs.DC2024★ 13 cited
Heterogeneity-Aware Cooperative Federated Edge Learning with Adaptive Computation and Communication Compression
Zhenxiao Zhang, Zhidong Gao, Yuanxiong Guo +1
Motivated by the drawbacks of cloud-based federated learning (FL), cooperative federated edge learning (CFEL) has been proposed to improve efficiency for FL over mobile edge networ…